Rishav Bhagat
Quantitative Trader
South Brunswick, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolRishav Bhagat is a quantitative trader and machine learning specialist completing an MS in Computer Science at Georgia Tech, currently trading on Jane Street’s equities desk after summer internships there. He combines nine years of software engineering and research experience—spanning Bloomberg, robotics at GTRI, and AI research at Georgia Tech’s EILabs—focused on reinforcement learning exploration and transfer. Rishav has shipped production-grade systems using AWS, React, and backend services, and has optimized algorithms and pipelines in both industry and research settings. His academic work explores deep online RL agents that adapt to novel environments, a niche that complements his trading role where rapid adaptation and information-seeking matter. Active on GitHub and in independent contracting, he blends practical engineering with rigorous quantitative thinking and a track record of translating experiments into deployable solutions.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyHigh School Diploma Mathematics and Computer Science, High School Diploma Mathematics and Computer Science at South Brunswick High School
Github Skills (9)
dynamics5
science5
transfer-learning4
scenarios4
computer-science4
reinforcement-learning2
minigrid2
artificial-intelligence1
explore1
Programming languages (6)
Github contributions (5)
rishavb123/rishavb123.github.io
Oct 2017 - Oct 2018
Contributions:264 pushes in 1 year
rishavb123/api.bhagat.io
Dec 2020 - Apr 2024
Contributions:199 pushes, 2 branches in 3 years 4 months
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